Evidence map›Paper›PMID 41467540›Full record

Observational studyJournal of magnetic resonance imaging : JMRI2026

Clinical Validation of a Fast MRI Method to Evaluate Brain Vascular and Parenchymal Abnormalities in Sturge-Weber Syndrome.

Scotty G McKay, Yongsheng Chen, E Mark Haacke, Yang Xuan, Aimee F Luat, Csaba Juhász

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Scotty G McKayDepartment of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Yongsheng ChenDepartment of Neurology, Wayne State University School of Medicine, Detroit, Michigan, USA.ORCID https://orcid.org/0000-0001-7114-5731
E Mark HaackeDepartment of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Yang XuanDepartment of Radiology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Aimee F LuatDepartment of Pediatrics, Central Michigan University, Mt Pleasant, Michigan, USA.
Csaba JuhászDepartment of Neurology, Wayne State University School of Medicine, Detroit, Michigan, USA.ORCID https://orcid.org/0000-0002-5067-5554

Funding

Longitudinal Neuroimaging in Sturge-Weber SyndromeR01NS041922 · NINDS · WAYNE STATE UNIVERSITY · PI JUHASZ, CSABA · 2003 to 2024
$6.2M
ACQUIRING A 3T PRISMA FOR NEUROSCIENCE RESEARCH AT WSUS10OD028724 · OD · WAYNE STATE UNIVERSITY · PI HAACKE, EWART MARK · 2022 to 2022
$2.0M
Biomarker development in patients with HNPPR61NS119434 · NINDS · WAYNE STATE UNIVERSITY · PI CHEN, YONGSHENG, LI, JUN · 2022 to 2024
$1.4M
NIH HHS R01NS041922NIH HHS R61NS119434NIH HHS S10 OD028724NIH HHS S10OD028724NINDS NIH HHS R01 NS041922NINDS NIH HHS R61 NS119434
6 · The paper itself

Abstract

backgroundSturge-Weber syndrome (SWS) is a rare neurocutaneous disorder associated with venous capillary malformations, atrophy, and calcifications. Longitudinal imaging is limited by risks of sedation and gadolinium exposure in children. PURPOSE: To evaluate whether strategically acquired gradient echo (STAGE), a rapid multi-contrast quantitative MRI method, can reliably detect vascular and parenchymal abnormalities in SWS compared with conventional pre-/post-contrast MRI. STUDY TYPE: Observational cross-sectional. POPULATION: Twenty-two patients with unilateral SWS diagnosed by previous MRI (13 female; ages 2-24 years). FIELD STRENGTH/SEQUENCE: 3T/T1-weighted (T1W) and T2-weighted (T2W) turbo-spin-echo, fluid attenuated inversion recovery, and a 3D gradient echo-based STAGE sequence providing T1, proton density (PD), T2*, and R2* maps, susceptibility-weighted imaging (SWI), quantitative susceptibility mapping (QSM), T1W with enhanced gray matter to white matter contrast (T1WE), and synthetic images of T2W, FLAIR, and gradient echo images. ASSESSMENT: Conventional MRI and STAGE images were reviewed in 10 patients (training group), side-by-side, to determine the STAGE-derived images that identify SWS abnormalities, including leptomeningeal venous capillary malformations (LVCM), enlarged deep medullary veins, choroid plexus enlargement, cerebral atrophy, and calcifications. In the remaining test group of 12 patients, three reviewers scored these abnormalities on STAGE images and compared them with scores from conventional MRI. STATISTICAL TESTS: Interrater reliability with intraclass correlation coefficient (ICC), Spearman's rank correlation, Wilcoxon signed-ranked test, Mann-Whitney U-test, Fisher's exact test. Statistical significance level was set as p < 0.05.

resultsLVCMs were visualized on STAGE with SWI and R2*. Calcifications were differentiated from venous abnormalities using PD, T1WE, synthetic gradient echo, and QSM. STAGE-derived scores had excellent interrater reliability (ICCs > 0.90) and were similar to the conventional MRI scores despite some minor differences in some individual cases (total scores from conventional MRI vs. STAGE 8.9 vs. 8.7, p = 0.29). DATA

conclusionSTAGE provided rapid, non-contrast, multi-parametric imaging that reliably detected vascular and parenchymal SWS abnormalities seen on conventional MRI. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 3.

Indexed as

BrainMagnetic Resonance ImagingSturge-Weber SyndromeAdolescentChildChild, PreschoolContrast MediaCross-Sectional StudiesFemaleHumansImage Processing, Computer-AssistedMaleReproducibility of ResultsYoung AdultContrast Mediacerebral vascular malformationspediatric brain imagingquantitative MRISturge‐Weber syndrome

Identifiers

PMID41467540
PMCPMC13066533

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.